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About This Role
- Role Overview In this role, you will support and enhance automation systems that drive equipment performance, data analysis, and process optimization across defect metrology and related semiconductor manufacturing systems.
- You will apply software and data engineering skills to build scalable automation solutions, improve system reliability, and enable faster, more robust decision-making through better data integration, analysis, and deployment practices.
- You will work closely with various teams to troubleshoot complex system issues, develop automation frameworks, and implement solutions that improve tool performance, reduce variation, and prevent recurrence.
- This role also involves supporting sustaining, and innovation activities, with a strong focus on software-enabled process improvement.
- Key Responsibilities • Design, develop, and maintain automation solutions that support equipment performance monitoring, troubleshooting, and process improvement. • Develop scalable software tools and scripts, primarily using Python, to automate data extraction, validation, analysis, and reporting workflows. • Write and optimize SQL queries to access, transform, and analyze data from manufacturing and equipment systems. • Support cloud-based application development and deployment for automation and analytics solutions. • Implement and maintain CI/CD pipelines in GitHub to improve software quality, version control, testing, and deployment efficiency. • Troubleshoot complex equipment and software-related issues, develop sustainable solutions, and implement strategies to prevent recurrence. • Lead equipment and automation improvement initiatives with cross-functional teams to enhance operational performance of DefMet systems. • Identify innovative automation solutions to equipment challenges and influence stakeholders to drive and implement change. • Collaborate with engineering, manufacturing, and IT teams to improve automation architecture, data flow, and system reliability.
Qualifications
- Minimum Requirements • Level 8 degree (NFQ) or higher in a Science or Engineering discipline, such as Physics, Chemistry, Materials Science, Electrical/Electronic/Mechanical Engineering, Chemical Engineering, Mechatronics, Nanotechnology, Mathematics, Computer Science, or related fields. • 4+ years of experience in an engineering, automation, equipment, data, or software-enabled manufacturing environment. • Strong analytical and problem-solving skills, with hands-on experience troubleshooting complex systems. • Practical experience with Python for automation, data processing, or engineering analysis. • Strong working knowledge of SQL for data extraction, validation, and analysis. • Experience with data analysis and visualization tools such as JMP, Python-based libraries, or similar tools. • Familiarity with cloud-based development and deployment environments. • Experience using GitHub for version control and CI/CD workflows. • Proven ability to work autonomously with a high level of ownership and comfort with ambiguity. • Excellent written and verbal communication skills, with the ability to clearly convey complex technical information. • Strong organizational skills, attention to detail, and ability to manage multiple activities simultaneously. • Strong teamwork skills and experience working in cross-functional and multicultural teams.
- Preferred Requirements • Experience in semiconductor manufacturing or related high-tech industries. • Experience with yield analysis, defect reduction methodologies, and process improvement. • Familiarity with equipment automation systems, industrial software, or manufacturing data platforms. • Exposure to cloud-native application development, APIs, or automated deployment pipelines. • Familiarity with machine learning techniques for predictive maintenance or defect classification. • Experience with computer vision or image analysis tools relevant to defect detection.
Benefits
- Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
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Specialisation
Open roles at Intel
601 positions
Job ID
/job/Ireland-Leixlip/Defect-equipment-Systems-Engineer_JR0285693
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